ArticleAnnals of emergency medicine2014
The effect of electronic health record implementation on community emergency department operational measures of performance.
Article in Annals of emergency medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Impact of Implementing Electronic Nursing Records on Quality and Safety Indicators in Care.The Libyan journal of medicine · 2024Article
- Electronic medical record implementation in the emergency department in a low-resource country: Lessons learned.PloS one · 2024Article
- Definitions and factors associated with emergency physician productivity: a scoping review.CJEM · 2023Article
- Benchmarking emergency department prediction models with machine learning and public electronic health records.Scientific data · 2022Article
- Impact of Scribes with Flow Coordination Duties on Throughput in an Academic Emergency Department.The western journal of emergency medicine · 2020Article
- An assessment of emergency department information systems based on the HL7 functional profile.Journal of education and health promotion · 2019Article
- Modelling attending physician productivity in the emergency department: a multicentre study.Emergency medicine journal : EMJ · 2018Observational
- A Custom-Developed Emergency Department Provider Electronic Documentation System Reduces Operational Efficiency.Annals of emergency medicine · 2017Article
- Usability Evaluation of a Clinical Decision Support System for Geriatric ED Pain Treatment.Applied clinical informatics · 2016Article
- Effects of Common Data Errors in Electronic Health Records on Emergency Department Operational Performance Metrics: A Monte Carlo Simulation.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2015Article
- Reducing emergency department charting and ordering errors with a room number watermark on the electronic medical record display.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2014Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
STUDY
objectiveWe study the effect of an emergency department (ED) electronic health record implementation on the operational metrics of a diverse group of community EDs.
methodsWe performed a retrospective before/after analysis of 23 EDs from a single management group that experienced ED electronic health record implementation (with the majority of electronic health records optimized specifically for ED use). We obtained electronic data for 4 length of stay measures (arrival to provider, admitted, discharged, and overall length of stay) and 4 measures of operational characteristics (left before treatment complete, significant returns, overall patient satisfaction, and provider efficiency). We compared the 6-month "baseline" period immediately before implementation with a "steady-state" period commencing 6 months after implementation for all 8 metrics.
resultsFor the length of stay measures, there were no differences in the arrival-to-provider interval (difference of -0.02 hours; 95% confidence interval [CI] of difference -0.12 to 0.08), admitted length of stay (difference of 0.10 hours; 95% CI of difference -0.17 to 0.37), discharged length of stay (difference of 0.07 hours; 95% CI of difference -0.07 to 0.22), and overall length of stay (difference of 0.11 hours; 95% CI of difference -0.04 to 0.27). For operational characteristics, there were no differences in the percentage who left before treatment was complete (difference of 0.24%; 95% CI of difference -0.47% to 0.95%), significant returns (difference of -0.04%; 95% CI of difference -0.48% to 0.39%), overall percentile patient satisfaction (difference of -0.02%; 95% CI of difference -2.35% to 2.30%), and provider efficiency (difference of -0.05 patients/hour; 95% CI of difference -0.11 to 0.02).
conclusionThere is no meaningful difference in 8 measures of operational performance for community EDs experiencing optimized ED electronic health record implementation between a baseline and steady-state period.
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